DocumentCode
1960027
Title
Optimization design of electric field using artificial neural networks
Author
Yundong, Cao ; Dong, Liu ; Xiaoming, Liu ; Yuan, Tian
Author_Institution
Shenyang Univ. of Technol., China
fYear
2002
fDate
8-11 April 2002
Abstract
A combination of artificial neural networks (ANN) and the electric field analysis is applied to solve the inverse problem of the electric field. Taking the high nonlinear ability of the ANN and the numerical analysis of the electromagnetic field into consideration, the inverse problem of the electric field for the demonstration examples has been solved. From the calculation results, it can be seen that the proposed method is feasible and valid.
Keywords
electric fields; electrical engineering computing; inverse problems; neural nets; optimisation; ANN; artificial neural networks; electric field; electric field analysis; electrode contour; electromagnetic field; electromagnetic numerical analysis; inverse problem solution; nonlinear oscillating function simulation; numerical analysis; optimization design;
fLanguage
English
Publisher
iet
Conference_Titel
Computation in Electromagnetics, 2002. CEM 2002. The Fourth International Conference on (Ref. No. 2002/063)
Type
conf
DOI
10.1049/ic:20020155
Filename
1225606
Link To Document